Urban camouflage assessment through visual search and computational saliency

Alexander Toet; Maarten A. Hogervorst

doi:10.1117/1.OE.52.4.041103

30 November 2012 Urban camouflage assessment through visual search and computational saliency

Alexander Toet, Maarten A. Hogervorst

Author Affiliations +

Optical Engineering, Vol. 52, Issue 4, 041103 (November 2012). https://doi.org/10.1117/1.OE.52.4.041103

Abstract

We present a new method to derive a multiscale urban camouflage pattern from a given set of background image samples. We applied this method to design a camouflage pattern for a given (semi-arid) urban environment. We performed a human visual search experiment and a computational evaluation study to assess the effectiveness of this multiscale camouflage pattern relative to the performance of 10 other (multiscale, disruptive and monotonous) patterns that were also designed for deployment in the same operating theater. The results show that the pattern combines the overall lowest detection probability with an average mean search time. We also show that a frequency-tuned saliency metric predicts human observer performance to an appreciable extent. This computational metric can therefore be incorporated in the design process to optimize the effectiveness of camouflage patterns derived from a set of background samples.

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Alexander Toet and Maarten A. Hogervorst "Urban camouflage assessment through visual search and computational saliency," Optical Engineering 52(4), 041103 (30 November 2012). https://doi.org/10.1117/1.OE.52.4.041103

Published: 30 November 2012

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